Children with Down syndrome often require several specialty doctors and multidisciplinary teams for their associated anomalies. This may impact their quality of life and creates gaps in treatment monitoring. No studies have yet been conducted in Thailand to measure their quality of life and level of comprehensive health supervision. Therefore, we aimed to study the quality of life among children with Down syndrome and determine if they receive comprehensive health supervision for their condition. In this descriptive research, data were collected from a medical record review of children with Down syndrome during a 1-year period in our Pediatric Outpatient Clinic; 50 children and 39 caregivers participated. Mean total quality of life score of the children was 67.9/100 points. The children had the highest scores (73.6 ± 12.8) in emotional functioning and the lowest (57.2 ± 25.6) in cognitive functioning. It appears that the quality of life may be lower in Down syndrome patients than in Thai children without it. Regarding health supervision, all 50 were screened for thyroid function, and 48 received cardiac evaluations. However, only 17 (34%) received "complete basic assessment" of 5 screening combinations with developmental evaluations and growth monitoring. Furthermore, none received "comprehensive" evaluations for all recommended conditions. While these findings show a need for health supervision improvement for children with Down syndrome within our hospital, they may also be indicative for most care facilities throughout Thailand.

Background: Craniofacial dysmorphism plays a major part in the evaluation of many genetic syndromes. Facial pattern recognition has been typically used by clinicians before sending the patients' blood for specific diagnostic tests. However, the number of genetic syndromes is enormous, and the specific facial features are difficult to memorize for all syndromes. Therefore facial dysmorphology novel analysis (FDNA) technology, innovative software, was developed to help clinicians recognize probable genetic syndromes from patients' facial gestalts by ranking. Ethnic differences might have a major effect on patients' facial features. The FDNA database mainly consists of Caucasian patients; therefore, the probability recognition for Asian patients may be limited. The aim of this project is to test the software's recognition probability (sensitivity) on Thai Down Syndrome (DS) children compared to Thai non-Down syndrome (non-DS) children (specificity).